Visualization of Predictions. We visualize predictions of our model and other previous methods in Fig. REF . Attention transition [1]} tends to overestimate gaze area which includes more uncertainty and ambiguity. I3D-R50 [2]} and vanilla MViT [3]} architectures run into failure modes when there are multiple objects and people in the scene. In contrast, our model, by explicitly modeling the connection between the global and local visual tokens, more robustly predicts the egocentric gaze distribution from the input video clip.
